DeViSE: A Deep Visual-Semantic Embedding Model: "Abstract: Modern visual recognition systems are often limited in their ability to scale to large numbers of object categories. This limitation is in part due to the increasing difﬁculty of acquiring sufﬁcient training data in the form of labeled images as the number of object categories grows. One remedy is to leverage data from other sources – such as text data – both to train visual models and to constrain their predictions."